Factual is a location platform that enables personalized and contextually relevant mobile experiences by enriching mobile location signals with definitive global data. Factual's real-time data stack builds and maintains data on a global scale, with Factual's core Global Places data covering over 65 million local businesses and points of interest in 50 countries. Factual's platform also provides location based mobile personalization and ad-targeting solutions along with data cleaning and mapping services for business listings and points of interest.
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Do you know more languages than you can count on a single hand? Do you read wikipedia articles for fun in your spare time? Do you also like things to be cleanly structured and neatly ordered? At Factual, we need outstanding people to help solve the following problem: How to3/27/2015 Los Angeles, CA Save This Job
We're looking for super smart, talented software engineers to work on crazy hard problems. We're most interested in people who have strong backgrounds in Computer Science theory, are good with algorithms, and are generally quick on their feet (err... keyboards). Above all, we3/27/2015 Los Angeles, CA Save This Job
Factual is looking for an engineer to build out front-end-heavy applications. You?ll be developing and rolling out reactive front ends, big data backends to support them, and everything in between. We?re doing Rails, Node.js, Angular, Bootstrap, Solr, Postgres on AWS. This role3/27/2015 Los Angeles, CA Save This Job
We?re looking for a hands-on UI developer. You'll take early stage wireframes from our product team, and deliver production quality coded projects. There will be some riffing off our existing brand identity, but you should be able to synthesize and invent new ideas extremely well3/27/2015 Los Angeles, CA Save This Job
Factual is looking for a Lead Systems/DevOps Engineer to head up a small Sysops/DevOps team. Our search is for a special kind of Sysops/Devops engineer -- one who codes to automate, is comfortable with cloud and physical infrastructure, and treats metal like a resource (e.g.3/27/2015 Los Angeles, CA Save This Job
We're looking for a fast-working multi-tasker with good attention to detail that has both experience with and passion for large data. Responsibilities: Research and analyze data on the web. Evaluate and judge algorithmically generated data and assess data quality. Curate data3/27/2015 Los Angeles, CA Save This Job